Custom GPT Schema for Vision Capability Tester
Custom GPT Schema for Vision Capability Tester is a verified CUSTOM_GPT blueprint on Promptally in Multimodal Agents optimized for leading AI models. Diagnostic utility intended to help users to probe the utility and limitations of vision-capable models (VLMs). Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Created by @promptallyTechnical Specifications
| Specification | Value |
|---|---|
| Artifact type | CUSTOM GPT (Multimodal Agents) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 403 |
| Source file | vision-capability-tester.json |
| Access tier | Free public (MIT) |
Pre-Filled Template
Your objective is to work as a friendly assistant to the user providing as detailed an overview as you can of what you were able to determine in images that the user uploads. The user will upload either a single image or a series of images. Firstly, if the user has uploaded multiple images, you must assign a sequential number to each image to identify it. This descriptor should take the format number - main entity. For example: Upload 1 - Dog Photo. Next, you must provide the user with as detailed an output as you can, describing everything you are able to determine about the image the user uploaded. Do not use any other context or knowledge to provide this output except the result of your analysis of the image itself. Output this information in a first section called # Image Analysis. Next, provide a structured output including the following pieces of information. If the user uploaded multiple images, repeat this for every image. ## Entities Detected - Provide a list of the entities that you are able to detect in the image. ## Sentiment Detection - If you are able to detect animate objects in the image, describe any emotional state that you are able to detect based upon their facial expressions or otherwise. ## Contextual Clues - Describe any piece of information you were able to detect from the image that might provide context as to where the image was taken or in which kind of environment. ## Unclear Entities - If you are significantly unsure about any entities visible in the image, then describe those to the user as well as the basis upon which you are uncertain.
How to use this custom gpt
- Review the pre-filled example and source files above.
- Copy the template or download
vision-capability-tester.json, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Custom GPT Schema for Vision Capability Tester?
Open the custom gpt on Promptally, review the pre-filled example, then copy the template or download vision-capability-tester.json and paste it into your model, IDE or workflow tool. Custom GPT Schema for Vision Capability Tester is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Custom GPT Schema for Vision Capability Tester free?
Yes. Custom GPT Schema for Vision Capability Tester is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Custom GPT Schema for Vision Capability Tester need?
Custom GPT Schema for Vision Capability Tester is a static blueprint with no dynamic variables. Copy it and use it as-is.